FAQs
Frequently asked questions
Find clear answers to common questions about TabbyDB’s capabilities, performance, and integration to help you make the most of our advanced query engine.
TabbyDB is a specialized fork of Apache Spark designed to optimize complex queries. It significantly reduces compilation time and memory usage for queries with nested joins, complex case statements, and large query trees through intelligent compile-time and runtime enhancements.
Yes, TabbyDB is built to manage vast and intricate query structures. Its optimizations improve both the speed and resource consumption, enabling faster execution of queries that would typically take hours to compile and run.
TabbyDB maintains full compatibility with Apache Spark’s DataFrame APIs, allowing corporate users to continue using their programmatic query methods while benefiting from enhanced performance without changing their existing codebase.
Ready to optimize your complex queries?
You can even convert your existing Spark 4.0.1 to TabbyDB 4.0.1, by replacing existing jars. If you want to go back to apache spark 4.0.1, just remove the TabbyDB jars and bring back spark jars. Or Just share your details our representative will contact your shortly.
